Managing Director – Enterprise Architecture, Data & AI Governance

Baker Tilly US

. Lead Baker Tilly’s enterprise architecture function and establish the architectural and governance foundation for technology, data, and AI .

Posted 9/29/2026full-timeUnited StatesLead💰 $254,540 - $386,050 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive leadership in enterprise architecture, data governance, and AI governance, with a strong focus on establishing standards, compliance, and modernization roadmaps. Proven ability to integrate technology strategy with business outcomes in a publicly traded company environment.

Highest-signal resume keywords

Enterprise Architecture LeadershipData Governance ExpertiseAI Governance and CompliancePublic-Company Technology ControlsModern Cloud Data Platforms

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Enterprise ArchitectureData ArchitectureAI ArchitectureIntegration PatternsAPIsData GovernanceModernization RoadmapsApplication RationalizationDevOpsSecurity Architecture

Soft Skills

LeadershipCollaborationInfluencingCommunicationStrategic Thinking

Tools & Technologies

Cloud PlatformsArchitecture ToolingGovernance FrameworksData Management ToolsCompliance Software

Industry Keywords

Public-Company GovernanceIPO-ReadinessRisk ManagementData PrivacyAuditability

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Lead Baker Tilly’s enterprise architecture function and establish the architectural and governance foundation for technology, data, and AI
Report directly to the Chief Digital & Information Officer and serve as the senior authority for enterprise architecture
Integrate Enterprise Architecture, Data Governance, and AI Governance into one enterprise capability
Define enterprise technology architecture, principles, standards, target-state roadmaps, patterns, and guardrails
Own enterprise Data & AI Governance, including data standards, responsible AI, AI approval, architecture compliance, lifecycle management, and production readiness
Steward enterprise data architecture, data foundation, systems of record, data contracts, integration patterns, interoperability, and BTID
Establish architecture governance and production-readiness requirements across scalability, deployment, integration, resilience, security, observability, supportability, and operations
Partner with the AI Product Group to maintain architectural boundaries, enterprise standards, governance, production gates, and enterprise integration
Reduce technology complexity through standardization, reuse, platform leverage, application rationalization, and modernization
Advise senior leadership on architecture choices, technology investments, technical debt, modernization priorities, risks, and opportunities
Build and lead a high-performing Enterprise Architecture and Governance organization and architecture community of practice
Mature technology, data, and AI governance for public-company and IPO readiness, including controls, evidence, auditability, accountability, and traceability
Partner with Finance, Internal Audit, Risk, Legal, Privacy, Security, Compliance, Operational IT, Business Technology, and service-line technology teams
Establish risk-tiered governance pathways for innovation and AI while maintaining appropriate oversight
Measure success through reuse, simplification, risk reduction, delivery enablement, governance effectiveness, and business outcomes

Requirements

What you’ll need

15+ years of progressive leadership experience across enterprise architecture, technology strategy, data architecture, engineering, or related disciplines
Bachelors Degree required
Demonstrated leadership experience in a publicly traded company, IPO-readiness environment, or organization operating with comparable public-company control, audit, governance, and disclosure rigor
Working knowledge of public-company technology control expectations, including IT general controls, access and change controls, application/automated controls, evidence retention, auditability, control testing, remediation, and technology implications of financial reporting controls
Experience partnering with CFO/Finance, Internal Audit, external audit, Risk, Legal, Privacy, Security, and Compliance functions
Experience presenting technology risk, architecture, data governance, cyber/privacy dependencies, and control posture to executive leadership and ideally boards or audit/risk committees
Experience integrating data privacy and data protection requirements into architecture, data governance, vendor governance, cloud, analytics, and AI delivery practices
Experience establishing governance for emerging technology and innovation
Significant experience leading Enterprise Architecture in a complex, distributed, matrixed organization
Demonstrated experience defining enterprise technology strategy and translating it into executable target-state architectures and modernization roadmaps
Deep experience with enterprise data architecture, modern cloud data platforms, integration patterns, APIs, data domains, data contracts, metadata, lineage, and governance
Demonstrated experience establishing architecture governance
Strong understanding of modern AI architectures, generative AI, agentic systems, AI platforms, and governance implications
Experience developing or operating Data Governance and/or Responsible AI governance programs
Demonstrated ability to establish enterprise standards while partnering with autonomous product and engineering organizations
Experience influencing major technology investment, modernization, simplification, and platform decisions
Proven ability to operate with senior executives, business leaders, architects, engineers, security leaders, risk professionals, and product teams
Experience leading through significant organizational and operating-model transformation
Technical and domain competencies including enterprise architecture, modern cloud and distributed architectures, enterprise data architecture, data governance, integration architecture, APIs, event-driven architecture, AI and generative AI architecture, agentic AI patterns, responsible AI, application rationalization, platform engineering, DevOps, security and privacy architecture, modernization, architecture tooling, public-company technology governance, IT controls, data privacy, and third-party risk governance

Benefits

Comp & perks

Comprehensive compensation and benefits package to eligible employees